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🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
39622
Total Papers
26069
No Code
1086
Twilight
12467
Has Code
31.5%
Survival Rate
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A Primer on Large Language Models and their Limitations
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Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection
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Different Bias Under Different Criteria: Assessing Bias in LLMs with a Fact-Based Approach
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Ranking Unraveled: Recipes for LLM Rankings in Head-to-Head AI Combat
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Whisper Finetuning on Nepali Language
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The Cartographer
Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide
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CHAI for LLMs: Improving Code-Mixed Translation in Large Language Models through Reinforcement Learning with AI Feedback
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Richer Output for Richer Countries: Uncovering Geographical Disparities in Generated Stories and Travel Recommendations
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More Expressive Attention with Negative Weights
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SAFE-MEME: Structured Reasoning Framework for Robust Hate Speech Detection in Memes
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Seq2Seq Model-Based Chatbot with LSTM and Attention Mechanism for Enhanced User Interaction
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The Empty Tomb
Intra- and Inter-modal Context Interaction Modeling for Conversational Speech Synthesis
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Segment-Based Attention Masking for GPTs
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Understanding the Logic of Direct Preference Alignment through Logic
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DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak
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Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions
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Adapting Whisper for Code-Switching through Encoding Refining and Language-Aware Decoding
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PsyDraw: A Multi-Agent Multimodal System for Mental Health Screening in Left-Behind Children
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Memorization Over Reasoning? Exposing and Mitigating Verbatim Memorization in Large Language Models' Character Understanding Evaluation
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Towards an optimised evaluation of teachers' discourse: The case of engaging messages
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A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI
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RAcQUEt: Unveiling the Dangers of Overlooked Referential Ambiguity in Visual LLMs
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